How to scrape reviews and reputation data from ProductReview using Minexa.ai
- Minexa.ai

- 7 days ago
- 3 min read
Tracking how products are rated across a review platform is straightforward when you are looking at one or two listings. It becomes a different task entirely when you need structured data across dozens of products, updated regularly, in a format you can actually analyse.
ProductReview is one of Australia's most visited consumer review platforms. Its category pages list competing products side by side, each with an aggregate rating, a review count, and a preview of the most recent user review. That data is useful for brand monitoring, competitive benchmarking, and consumer sentiment research. The problem is that it lives in a web page, not a spreadsheet.
This guide shows how to extract that data using Minexa.ai, a Chrome extension that turns any structured web page into a downloadable dataset without writing a single line of code.
Watch the extraction walkthrough
The video below covers the full workflow from opening the ProductReview category page to exporting the final dataset.
Step-by-step extraction from ProductReview
Start by installing the Minexa.ai Chrome extension from the Chrome Web Store, then navigate to the ProductReview category page you want to scrape.
Once the page has fully loaded, click the Minexa.ai extension icon in your browser toolbar. The popup will ask you to confirm you are on the right page before proceeding.
After confirming, Minexa.ai automatically detects the pagination structure on the page. Review the detected pagination and click Continue to move forward.
Next, choose your scraping mode. For a category listing like this one, selecting the single list option captures all product cards on the page. If you also want to follow each product link and extract detail page data, the list-plus-detail option handles that too.
Select simple scraping for this use case. Minexa.ai will then highlight the full product listing container automatically, showing you exactly which section of the page it will extract from.
Once you confirm the container, Minexa.ai creates the scraper and surfaces all detected data points. You can browse through the extracted columns using the navigation controls shown in the extension panel.
After reviewing the columns, complete the configuration and run the scraping job. The results appear in a live table as pages are processed.
What the extracted data looks like
Here is a sample of what Minexa.ai returns for two product listings from the ProductReview pregnancy tests category page.
[
{
"product_name": "Fertility2Family Ovulation Tests",
"rating": "3.9",
"review_count": "184",
"img_src": "https://cdn.productreview.com.au/resize/listing-picture/1949d746...",
"reviewer_name": "Kirra",
"review_date": "2024-05-22T06:58:50.000Z",
"review_title": "Helped me to learn my unique cycle",
"review_text": "The strips helped me immensely in understanding my cycle..."
},
{
"product_name": "Fertility2Family Pregnancy Tests",
"rating": "4.1",
"review_count": "71",
"img_src": "https://cdn.productreview.com.au/resize/listing-picture/05ee8a55...",
"reviewer_name": "Laura",
"review_date": "2022-12-30T04:13:26.000Z",
"review_title": "Hcg tests not sensitive at all",
"review_text": "The pregnancy tests did not pick up anything until after my period was due..."
}
]Each row corresponds to one product card. The review timestamp is returned in ISO 8601 format, making it straightforward to sort or filter by recency in any downstream tool.
Scheduling and export options
Once the job completes, results can be exported to Excel or JSON directly from the results table. For ongoing reputation monitoring, the scheduling feature lets you set the job to re-run automatically so your dataset stays current without manual intervention.
The scraper created during this session is reusable. Any ProductReview category page that shares the same layout can be processed with the same scraper, so the setup effort stays fixed regardless of how many categories you eventually cover.
If you want to explore other review or reputation data sources, the post on scraping public records data from GovTrack shows how the same extension workflow applies to a different page type. Install the Minexa.ai Chrome extension to get started with your first extraction today.

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